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LLaMA isn't built on RLHF, so it may be necessary to create a more extensive prompt. For example:

```

You are a super intelligent honest question-answering system.

Q: What's 2+2?

A: 4

Q: What color is the sky?

A:

```

This is Commodore 64 tier answers

That's just an example

That's the point, even C64 tier examples in one shot or few shot learning do wonders for changing the behavior of the model.

It performs very well, but you have to give it the right prompt and model params. I imagine it will be ChatGPT level once it is trained with RLHF

Ask dumb questions receive dumb answers.